Freakonomics Radio

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559. Are Two C.E.O.s Better Than One?

Freakonomics Radio

If two parents can run a family, why shouldn’t two executives run a company? We dig into the research and hear firsthand stories of both triumph and disaster. Also: lessons from computer programmers, Simon and Garfunkel, and bears versus alligators.    RESOURCES: "How Allbirds Lost Its Way," by Suzanne Kapner (The Wall Street Journal, 2023). "Is It Time to Consider Co-C.E.O.s?" by Marc A. Feigen, Michael Jenkins, and Anton Warendh (Harvard Business Review, 2022). "The Costs and Benefits of Pair Programming," by Alistair Cockburn and Laurie Williams (2000). "Strengthening the Case for Pair Programming," by Laurie Williams, Robert R. Kessler, Ward Cunningham, and Ron Jeffries (IEEE Software, 2000). EXTRAS: "The Facts Are In: Two Parents Are Better Than One," by Freakonomics Radio (2023). "The Secret Life of a C.E.O.," series by Freakonomics Radio (2018-2023).

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558. The Facts Are In: Two Parents Are Better Than One

Freakonomics Radio

In her new book The Two-Parent Privilege, the economist Melissa Kearney says it’s time for liberals to face the facts: U.S. marriage rates have plummeted but the babies keep coming, and the U.S. now leads the world in single-parent households. Plus: our friends at Atlas Obscura explore just how many parents a kid can have.

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557. When Is a Superstar Just Another Employee?

Freakonomics Radio

The union that represents N.F.L. players conducted their first-ever survey of workplace conditions, and issued a report card to all 32 teams. What did the survey reveal? Clogged showers, rats in the locker room — and some helpful insights for those of us who don’t play pro football.   For show notes, visit freakonomics.com/podcast/when-is-a-superstar-just-another-employee/

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556. A.I. Is Changing Everything. Does That Include You?

Freakonomics Radio

For all the speculation about the future, A.I. tools can be useful right now. Adam Davidson discovers what they can help us do, how we can get the most from them — and why the things that make them helpful also make them dangerous. (Part 3 of "How to Think About A.I.")